Formula RL: Deep Reinforcement Learning for Autonomous Racing using Telemetry Data.
Adrian RemondaSarah KrebsEduardo E. VeasGranit LuzhnicaRoman KernPublished in: CoRR (2021)
Keyphrases
- reinforcement learning
- telemetry data
- autonomous learning
- multi dimensional time series
- international space station
- reinforcement learning algorithms
- function approximation
- rl algorithms
- model free
- failure diagnosis
- machine learning
- state space
- learning algorithm
- multi agent
- learning capabilities
- robotic systems
- reinforcement learning methods
- actor critic
- dynamic programming
- temporal difference
- direct policy search
- optimal policy
- temporal difference learning
- learning agents
- neural network
- action space
- markov decision process
- markov decision processes
- fault diagnosis
- real robot
- action selection
- genetic algorithm